Abstract
A method for predicting viewers' ratings of video content on the basis of viewers' behaviors in a typical home environment is proposed. It detects whether the viewer is gazing at the video content or not on the basis of the viewer's head pose. The simulation results suggest that the proposed method can robustly predict viewers' ratings of video content.